Longitudinal changes in body weight of breastfeeding mothers in the first year after delivery and its relationship with human milk composition:a combined longitudinal and cross-sectional cohort study

Objective:Postpartum weight retention(PPWR)is a common problem among women after childbirth.The main objectives of this study are to understand the changes in body weight of breastfeeding mothers during long-term follow-up and preliminarily explore the relationship between maternal body weight and human milk composition,including macronutrients,leptin,and adiponectin.Methods:The study included a longitudinal cohort(122 mothers),and a cross-sectional cohort(37 mothers).The human milk,maternal weight,and dietary surveys were collected in the longitudinal cohort at different follow-up time points(1-14 days postpartum,2-4 months postpartum,5-7 months postpartum,and 12-17 months postpartum).The maternal body weight was analyzed using the responses in the survey questionnaires.A milk analyzer based on the mid-infrared spectroscopy(MIRS)was used to determine milk composition,and nutrition analysis software evaluated dietary intakes.In the cross-sectional cohort,participating mothers were asked to provide blood and human milk samples and pertinent information related to maternal body composition.Maternal body composition was measured by bioelectrical impedance analysis(BIA),while ELISA analyzed leptin and adiponectin in milk and serum.Results:At 5-7 months postpartum,the PPWR of breastfeeding mothers was(2.46±3.59)kg.At 12-17 months postpartum,the PPWR was(0.98±4.06)kg.PPWR was found to be negatively correlated with milk fat content within 14 days postpartum and positively correlated at 2-4 months postpartum.In addition,the maternal weight and body muscle mass were positively correlated with leptin and adiponectin in milk.Plasma leptin was positively correlated with the mother’s body weight,body mass index(BMI),FAT percentage,and body fat mass,while plasma adiponectin did not correlate with any parameter.The results also indicate that the PPWR did not correlate with leptin and adiponectin in plasma or milk.Conclusions:Breastfeeding mothers may retain considerable weight gain one year after delivery.Human milk composition may be related to changes in maternal body weight.Leptin and adiponectin in breast milk and leptin in plasma are associated with the maternal body composition.This study supports the notion that maternal nutritional status may affect offspring health through lactation,and future research should focus on exploring weight management of postpartum mothers.

Analysis of the Effects of Maternal Body Mass Index and Gestational Weight Gain on Maternal and Neonatal Outcomes in Twin Pregnancy

Objective:To investigate the effects of maternal body mass index(BMI)and gestational weight gain on maternal and neonatal outcomes in twin pregnancies.Methods:Five hundred cases of twin pregnancies were divided into a low body weight group(68 cases),a normal weight group(355 cases),an overweight group(65 cases),and an obesity group(12 cases)according to the World Health Organization(WHO)Body Mass Index(BMI)classification guidelines Results:Comparison of weight gain during different pregnancies revealed that pregnant women were mainly of low weight and average weight.The higher the BMI before pregnancy,the higher the incidence of excessive weight gain during pregnancy.The incidences of gestational diabetes mellitus(GDM)and premature rupture of membranes in women with low weight gain were significantly higher than those in women with average weight gain and high weight gain(P<0.05).The incidences of gestational hypertension,preeclampsia,and anemia in women with high weight gain were significantly higher than those in women with low weight gain and average weight gain(P<0.05).The incidence of neonatal birth weight,fetal distress,and macrosomia in the high weight gain group was significantly higher than those in the low weight gain and average weight gain groups(P<0.05).The birth weight of newborns in low-weight gain mothers was significantly lower than that of normal-weight gain mothers(P<0.05).Conclusion:Poor maternal and infant outcomes were common in women with insufficient or excessive weight gain during pregnancy.Therefore,for women with twin pregnancies,weight management is crucial to ensure maternal and infant health.

Tumour response following preoperative chemotherapy is affected by body mass index in patients with colorectal liver metastases

BACKGROUND Colorectal cancer is the third most prevalent malignancy globally and ranks second in cancer-related mortality,with the liver being the primary organ of metastasis.Preoperative chemotherapy is widely recommended for initially or potentially resectable colorectal liver metastases(CRLMs).Tumour pathological response serves as the most important and intuitive indicator for assessing the efficacy of chemotherapy.However,the postoperative pathological results reveal that a considerable number of patients exhibit a poor response to preoperative chemotherapy.Body mass index(BMI)is one of the factors affecting the tumori-genesis and progression of colorectal cancer as well as prognosis after various antitumour therapies.Several studies have indicated that overweight and obese patients with metastatic colorectal cancer experience worse prognoses than those with normal weight,particularly when receiving first-line chemotherapy regimens in combination with bevacizumab.AIM To explore the predictive value of BMI regarding the pathologic response following preoperative chemotherapy for CRLMs.METHODS A retrospective analysis was performed in 126 consecutive patients with CRLM who underwent hepatectomy following preoperative chemotherapy at four different hospitals from October 2019 to July 2023.Univariate and multivariate logistic regression models were applied to analyse potential predictors of tumour pathological response.The Kaplan-Meier method with log rank test was used to compare progression-free survival(PFS)between patients with high and low BMI.BMI<24.0 kg/m^(2) was defined as low BMI,and tumour regression grade 1-2 was defined as complete tumour response.RESULTS Low BMI was observed in 74(58.7%)patients and complete tumour response was found in 27(21.4%)patients.The rate of complete tumour response was significantly higher in patients with low BMI(29.7%vs 9.6%,P=0.007).Multivariate analysis revealed that low BMI[odds ratio(OR)=4.56,95%confidence interval(CI):1.42-14.63,P=0.011],targeted therapy with bevacizumab(OR=3.02,95%CI:1.10-8.33,P=0.033),preoperative carcinoembryonic antigen level<10 ng/mL(OR=3.84,95%CI:1.19-12.44,P=0.025)and severe sinusoidal dilatation(OR=0.17,95%CI:0.03-0.90,P=0.037)were independent predictive factors for complete tumour response.The low BMI group exhibited a significantly longer median PFS than the high BMI group(10.7 mo vs 4.7 mo,P=0.011).CONCLUSION In CRLM patients receiving preoperative chemotherapy,a low BMI may be associated with better tumour response and longer PFS.

Postoperative body weight change and its influencing factors in patients with gastric cancer

BACKGROUND The high incidence and mortality of gastric cancer(GC)pose a significant threat to human life and health,and it has become an important public health challenge in China.Body weight loss is a common complication after surgical treatment in patients with GC and is associated with poor prognosis and GC recurrence.However,current attention to postoperative weight change in GC patients remains insufficient,and the descriptions of postoperative weight change and its influencing factors are also different.AIM To investigate body weight changes in patients with GC within 6 mo after gastrectomy and identify factors that influence dynamic body weight changes.METHODS We conducted a prospective longitudinal study of 121 patients with GC and collected data before(T0)and 1(T1),3(T2),and 6(T3)mo after gastrectomy using a general data questionnaire,psychological distress thermometer,and body weight measurements.The general estimation equation(GEE)was used to analyze the dynamic trends of body weight changes and factors that influence body weight changes in patients with GC within 6 mo of gastrectomy.RESULTS The median weight loss at T1,T2,and T3 was 7.29%(2.84%,9.40%),11.11%(7.64%,14.91%),and 14.75%(8.80%,19.84%),respectively.The GEE results showed that preoperative body mass index(BMI),significant psychological distress,religious beliefs,and sex were risk factors for weight loss in patients with GC within 6 mo after gastrectomy(P<0.05).Compared with preoperative low-weight patients,preoperative obese patients were more likely to have weight loss(β=14.685,P<0.001).Furthermore,patients with significant psychological distress were more likely to lose weight than those without(β=2.490,P<0.001),and religious patients were less likely to lose weight 6 mo after gastrectomy than those without religious beliefs(β=-6.844,P=0.001).Compared to female patients,male patients were more likely to experience weight loss 6 mo after gastrectomy(β=4.262,P=0.038).CONCLUSION Male patients with GC with high preoperative BMI,significant psychological distress,and no religious beliefs are more likely to lose weight after gastrectomy.

Prognostic value of preoperative weight loss-adjusted body mass index on survival after esophagectomy for esophageal squamous cell carcinoma

BACKGROUND The impact of body mass index(BMI)on survival in patients with esophageal squamous cell carcinoma(ESCC)undergoing surgery remains unclear.Therefore,a definition of clinically significant BMI in patients with ESCC is needed.AIM To explore the impact of preoperative weight loss(PWL)-adjusted BMI on overall survival(OS)in patients undergoing surgery for ESCC.METHODS This retrospective study consisted of 1545 patients who underwent curative resection for ESCC at West China Hospital of Sichuan University between August 2005 and December 2011.The relationship between PWL-adjusted BMI and OS was examined,and a multivariate analysis was performed and adjusted for age,sex,TNM stage and adjuvant therapy.RESULTS Trends of poor survival were observed for patients with increasing PWL and decreasing BMI.Patients with BMI≥20.0 kg/m2 and PWL<8.8%were classified into Group 1 with the longest median OS(45.3 mo).Patients with BMI<20.0 kg/m2 and PWL<8.8%were classified into Group 2 with a median OS of 29.5 mo.Patients with BMI≥20.0 kg/m2 and PWL≥8.8%(HR=1.9,95%CI:1.5-2.5),were combined into Group 3 with a median OS of 20.1 mo.Patients in the three groups were associated with significantly different OS(P<0.05).In multivariate analysis,PWL-adjusted BMI,TNM stage and adjuvant therapy were identified as independent prognostic factors.CONCLUSION PWL-adjusted BMI has an independent prognostic impact on OS in patients with ESCC undergoing surgery.BMI might be an indicator for patients with PWL<8.8%rather than≥8.8%.

Body mass index and its effects on liver fat content in overweight and obese young adults by proton magnetic resonance spectroscopy technique

AIM To assess the association between liver fat content(LFC) and weight status in young adults using proton magnetic resonance spectroscopy(1H MRS) technique.METHODSSeventy-eight healthy young adults, between 19-30 years of age participated in this study. This group was then separated into a control of 39 subjects and an overweight/obese group(OW/OB group) consisting of 39 subjects. Blood biochemical quantity and 1 H MRS was performed for LFC assessment.RESULTS LFC was found to be almost three times higher in OW/OB group when compared to the control group. A 48.7% incidence of non-alcoholic fatty liver disease in the OW/OB group was found. Blood biochemical measurements showed statistically higher low-density lipoproteins and triglyceride, lower highdensity lipoproteins, and increased glycosylated hemoglobin and fasting glucose in the OW/OB group. Body mass index was a significant independent predictor for LFC after adjusting for age and sex(multiple linear regression; β = 0.459, P <0.001).CONCLUSION Due to the prevalence of high LFC in the OW/OB group, it can be proposed that weight gain and obesity are sensitive indicators of high hepatic fat content.

Predictive value of extravascular lung water indexed to predicted body weight

AIM: To investigate extravascular lung water indexed to predicted body weight(EVLWIp) and actual body weight(EVLWIa) on outcome of patients with severe sepsis.METHODS: Transpulmonary thermodilution was prospectively used to measure cardiovascular hemodynamics, EVLWIp and EVLWIa via an arterial catheter placed in each patient within 48 h of meeting the criteria for severe sepsis from a medical intensive care unit(ICU) at a university affiliated hospital. Survival was the single dependent variable. In order to examine and compare the predictive power of EVLWIp, EVLWIa and other clinically significant factors in predicting the inhospital survival status of severe sepsis patients in the medical ICU, a receiver operating characteristic(ROC) curve method to analyze the significant variables and the area under the ROC curve(AUC) of the variables, P value and 95%CI were calculated.RESULTS: In total, 33 patients were studied. In the ROC curve method analyses, EVLWIp(the AUC: 0.849; P = 0.001, 95%CI: 0.72-0.98) was as predictive for inhospital survival rate as variables with EVLWIa(AUC, 0.829; P = 0.001, 95%CI: 0.68-0.98). The proportion of patients surviving with a low EVLW(EVLWI < 10 m L/kg) was better than that of patients with a higher EVLW, whether indexed by actual(HR = 0.2; P = 0.0002, 95%CI: 0.06-0.42) or predicted body weight(HR = 0.13; P < 0.0001, 95%CI: 0.05-0.35) during their hospital stay with the Kaplan-Meier method(76% vs 12.5%, respectively).CONCLUSION: This investigation proposed that EVLWIp is as good a predictor as EVLWIa to predict inhospital survival rate among severe sepsis patients in the medical ICU.

Perceptions of Body Mass Index as a Valid Indicator of Weight Status among Adults in the United States

Background: Being overweight or obese increases risk for heart disease, stroke, type 2 diabetes, joint disease, and certain cancers. The Body Mass Index (BMI) is commonly used to determine weight status. As rates of overweight and obesity have risen sharply in the United States over the past 30 years, perceptions of a “normal” or healthy weight are subject to change. The purpose of this study was to analyze perceptions of BMI as an indicator of weight status. Methods: An online survey was administered to 376 US adults. The survey collected demographic information including height, weight, and perceived weight status (underweight, healthy weight, overweight and obese). The survey software calculated and presented participants with their personal BMI values. Participants then answered questions about their perception of the BMI as a valid indicator of weight status. Results: More participants reported a healthy weight status (51.6%) than were classified as such according to their computed BMI (43.6%). The majority of the sample (85.1%) considered BMI to be a valid indicator of weight status, although perceptions of validity varied by weight status. Participants that perceived BMI to be invalid most commonly cited incongruence with one’s perception of their own body weight, no accounting for unique body shapes, and no accounting for additional muscle mass. Conclusion: BMI is generally perceived to be a valid indicator of weight status. These perceptions of validity can vary depending on the individuals’ actual weight status. In instances where perceptions are not favorable toward BMI, it is largely attributable to opinions of incongruence with BMI and body shape, type, or composition. Continued use of BMI as a preliminary tool for determining weight status appears to be accepted. Efforts to increase BMI-related awareness and education may be necessary for individuals that currently see it as invalid.

Analysis on Family History of Diabetes, Weight Gain during Pregnancy and Pre-pregnancy Body Mass Index on 82 Pregnant Women with Gestational Diabetes Mellitus

Objective:To investigate the effects of family history of diabetes mellitus,Gestational Weight Gain(GWG)and Body Mass Index(BMI)before pregnancy on Gestational Diabetes Mellitus(GDM).Method:82 pregnant women with GDM who were hospitalized and delivered in the obstetrics department of our hospital from September 2017 to September 2019 were selected as the observation group,and 60 pregnant women with normal glucose tolerance test in the same period were selected as the control group;The relationship between family history of diabetes,weight gain during pregnancy and pre-pregnancy Body Mass Index and GDM were analyzed.Results:The age,pre-pregnancy weight and weight gain during pregnancy were significantly higher in the observation group than in the control group(P<0.05),and the family history of diabetes and pre-pregnancy Body Mass Index were higher in the observation group than in the control group(P<0.05),and the differences were statistically significant.Conclusion:It is suggested that family history of diabetes is related to gestational diabetes mellitus.Excessive GWG growth during pregnancy and high Body Mass Index before pregnancy may increase the risk of gestational diabetes mellitus in pregnant women.

In-hospital outcomes in COVID-19 patients with non-alcoholic fatty liver disease by severity of obesity:Insights from national inpatient sample 2020

BACKGROUND Non-alcoholic fatty liver disease(NAFLD)increases the risk of cardiovascular diseases independently of other risk factors.However,data on its effect on cardiovascular outcomes in coronavirus disease 2019(COVID-19)hospitalizations with varied obesity levels is scarce.Clinical management and patient care depend on understanding COVID-19 admission results in NAFLD patients with varying obesity levels.AIM To study the in-hospital outcomes in COVID-19 patients with NAFLD by severity of obesity.METHODS COVID-19 hospitalizations with NAFLD were identified using International Classification of Disease-10 CM codes in the 2020 National Inpatient Sample database.Overweight and Obesity Classes Ⅰ,Ⅱ,and Ⅲ(body mass index 30-40)were compared.Major adverse cardiac and cerebrovascular events(MACCE)(all-cause mortality,acute myocardial infarction,cardiac arrest,and stroke)were compared between groups.Multivariable regression analyses adjusted for sociodemographic,hospitalization features,and comorbidities.RESULTS Our analysis comprised 13260 hospitalizations,7.3% of which were overweight,24.3% Class Ⅰ,24.1% Class Ⅱ,and 44.3% Class Ⅲ.Class Ⅲ obesity includes younger patients,blacks,females,diabetics,and hypertensive patients.On multivariable logistic analysis,Class Ⅲ obese patients had higher risks of MACCE,inpatient mortality,and respiratory failure than Class Ⅰ obese patients.Class Ⅱ obesity showed increased risks of MACCE,inpatient mortality,and respiratory failure than Class I,but not significantly.All obesity classes had non-significant risks of MACCE,inpatient mortality,and respiratory failure compared to the overweight group.CONCLUSION Class Ⅲ obese NAFLD COVID-19 patients had a greater risk of adverse outcomes than class Ⅰ.Using the overweight group as the reference,unfavorable outcomes were not significantly different.Morbid obesity had a greater risk of MACCE regardless of the referent group(overweight or Class Ⅰ obese)compared to overweight NAFLD patients admitted with COVID-19.

Temporal Variations in Mortality after Liver Transplantation: Retrospective Investigation of Potential Risk Factors Using Propensity Score

Objective: We aim to detect over-time variations in mortality of liver transplant recipients stratified by the period of transplant. Since this is a retrospective investigation, bias reduction caused by possible confounding effects can be achieved by using propensity score weighting in a multivariate logistic regression model. Methods: Medical charts of all adult liver transplant recipients (n = 250) who were transplanted in three periods 2005-2009, 2010-2014 and 2015-2019 were retrospectively reviewed. The following recipient factors were analyzed: recipients and donors’ ages, sex, renal impairment, body mass index (BMI), presence of bacterial or viral infections, MELD (Model for end-stage diseases). Multivariate logistic model adjusted by Propensity Scores (PS) was used to identify the effect of the risk factors on mortality, and death within five years, in the targeted time frame. Patient outcomes are recorded as;(patient status = 1 if dead, or patient status = 0 if alive). Results: Meld score, recipient age, and renal impairments were shown to be predictors of mortality in transplanted patients. Multivariate regression model was used to identify the significance of the specified risk factors, followed by pairwise comparisons between periods. Pairwise comparisons between periods using logistic regression weighted by the inverse propensity score, correcting for the possible confounding effect of measured covariates showed that the death rate is significantly reduced in subsequent periods as compared to the initial period. Conclusions: The clinical implications of these findings are the ability to stratify patients at high risk of posttransplant death by planning more intensive and accurate management for them.

Benefit of laparoscopic liver resection in high body mass index patients

AIM: To explore the impact of body mass index(BMI) on surgical outcomes in patients undergoing laparoscopic liver resection(LLR).METHODS: From January 2010 to February 2015, sixty-eight patients who underwent primary partial liver resection in our institute were retrospectively reviewed. Surgical outcomes of LLR were compared with those of open liver resection(OLR). In addition, we analyzed associations with BMI and surgical outcomes.RESULTS: Among 68 patients, thirty-nine patients underwent LLR and 29 were performed OLR. Significant difference in operation time, blood loss, and postoperative hospital stay was observed. There were no signi ficant di fferences in mortali ty and morbidity in two groups. Twenty-two patients(32.4%) were classified as obese(BMI ≥ 25). A statistically significant correlation was observed between BMI and operation time, between BMI and blood loss in OLR, but not in LLR. The operation time and blood loss of OLR were significantly higher than that of LLR in obese patients. Open liver resection and BMI were independent predictors for prolonged operation time and increased blood loss in multivariate analysis.CONCLUSION: The present study demonstrated that BMI had influenced to surgical outcomes of OLR. LLR was less influenced by BMI and had great benefit in obese patients.

Association between pre-pregnancy body mass index and gestational weight gain and the risk of preeclampsia:A systematic review and meta-analysis

Objective:To analyze the relationship between body mass index(BMI)before pregnancy and gestational weight gain throughout pregnancy with the incidence of preeclampsia.Methods:This was a systematic review-meta analysis of literature collected from three e-databases:Scopus,PubMed,and Science Direct.Quality assessment was measured with the Effective Public Health Practice Project methods.Meta-analysis was done by calculating the fixed and random-effects of odds ratio(OR)for each BMI category and gestational weight gain as compared with the incidence of preeclampsia.Results:Overweight was associated with a significantly increased risk of preeclampsia(OR=2.152,95%CI 1.363-3.400;P=0.001).Obesity was also associated with a noticeably increased risk of preeclampsia(OR=2.856,95%CI 1.755-4.649;P<0.001).Meanwhile,underweight was associated with a significantly reduced risk of preeclampsia(OR=0.639,95%CI 0.500-0.817;P<0.001)when compared with normal BMI.Pregnant women who gained weight below the standard throughout pregnancy was a protective factor from preeclampsia(OR=0.813,95%CI 0.610-1.083;P=0.157)whereas pregnant women who gained weight above the standard had almost doubled risk of preeclampsia(OR=1.850,95%CI 1.377-2.485;P<0.001).Conclusions:The result of this study affirms the role of overweight-obesity pre-pregnancy,and gestational weight gain above the standard during pregnancy as significant risk factors for developing preeclampsia.

Excess body weight, liver steatosis, and early fibrosis progression due to hepatitis C recurrence after liver transplantation

AIM: To investigate how weight gain after OLT affects the speed of fibrosis progression (SFP) during recurrent hepatitis C virus (HCV) infection of the graft.METHODS: Ninety consecutive patients (63 males,median age 53 years; 55 with HCV-related liver disease),transplanted at a single institution, were studied. All were followed for at least 2 years after OLT and had at least one follow-up graft biopsy, performed not earlier than 1 year after the transplant operation. For each biopsy, a single,experienced pathologist gave an estimate of both the staging according to Ishak and the degree of hepatic steatosis.The SFP was quantified in fibrosis units/month (FU/mo).The lipid metabolism status of patients was summarized by the plasma triglycerides/cholesterol (T/C) ratio. Body mass index (BMI) was measured before OLT, and 1 and 2 years after it.RESULTS: In the HCV positive group, the highest SFP was observed in the first post-OLT year. At that time point,a SFP ≤0.100 FU/mo was observed more frequently among recipients who had received their graft from a young donor and had a pre-transplant BMI value ＞26.0 kg/m2. At completion of the first post-transplant year, a BMI value ＞26.5 kg/m2 was associated with a T/C ratio ≤1. The proportion of patients with SFP ＞0.100 FU/mo descended in the following order: female recipients with a high T/C ratio, male recipients with high T/C ratio, and recipients of either gender with low T/C ratio. Hepatic steatosis was observed more frequently in recipients who, in the first post-transplant year, had increased their BMI ≥1.5 kg/m2 in comparison to the pre-transplant value. Hepatic steatosis was inversely associated with the staging score.CONCLUSION: Among HCV positive recipients, excessweight gain post-OLT does not represent a factor favoring early liver fibrosis development and might even be protective against it.

Attitudes towards, and methods of, maintaining or losing body weight among adults

To investigate motivators and strategies of adult weight loss or management, 1805 adults aged 18 - 65 were asked by computer assisted telephone interviews about their weight management behavior during the previous four weeks. High levels of importance to reduce risks associated with chronic diseases such as cancer, heart disease and diabetes were observed, although were indistinguishable between people attempting or not attempting to lose or maintain weight. Results showed that BMI was the strongest predictor of attempting to manage weight irrespective of age and, compared with males, females were more likely to attempt weight management at a lower BMI. Among the weight management group, the most popular weight management strategy was to choose healthier food options (77% and 70% for females and males respectively). With the weight management group also more likely to be monitoring the amount of food they consume, limiting portions sizes and tracking their physical activity participation compared with people not managing their weight. The current study showed that the likelihood of weight management within four weeks prior to the survey peaked for both sexes when BMI reached obese levels, (BMI = 30 - 39.9), suggesting that among people categorised as obese most were attempting to manage their weight. The results also suggest that at least some adults were not attempting to maintain their weight in the four weeks prior to the survey, irrespective of their BMI status. The implications of these findings suggest more effective approaches to weight loss and maintenance could focus on strategies that directly address the benefits and motivations of weight loss and weight maintenance, rather than focusing on conveying the risks of being overweight and the importance of avoiding chronic disease.

Impact of body mass index on outcomes of 48281 patients undergoing first time cadaveric liver transplantation

AIM: To investigate possible disparities in perioperative morbidity and mortality among different body mass index(BMI) groups and to simulate the impact that these differences might have had on the cohort of patients undergoing cadaveric liver transplantation(LT).METHODS: All adult recipients undergoing first time LT for benign conditions and receiving a whole graft from brain-dead donors were selected from the united network of organ sharing registry. From January 1994 to June 2013, 48281 patients satisfied the inclusion criteria and were stratified by their BMI. The hypothesis that abnormal BMIs were independent predictors of inferior outcomes was tested with univariate and multivariate regression analyses.RESULTS: In comparison to normal weight recipients, underweight and morbidly obese recipients had increased 90-d mortality(adjusted OR = 1.737; 95%CI: 1.185-2.548, P = 0.005)(adjusted OR = 1.956; 95%CI: 1.473-2.597, P = 0.000) respectively and inferior patients' survivals(adjusted HR = 1.265; 95%CI: 1.096-1.461, P = 0.000)(adjusted HR = 1.157; 95%CI: 1.031-1.299, P = 0.013) respectively. Overall, patients' 5-year survival were 73.9% for normal-weight, 71.1% for underweight, 74.0% for overweight, 74.4% for class Ⅰ obese, 75.0% for class Ⅱ obese and 71.5% for class Ⅲ obese recipients. Analysis of hypothetical exclusion of underweight and morbidly obese patients from the pool of potential LT candidates would have improved the overall survival of the entire cohort by2.7%(95%CI: 2.5%-3.6%).CONCLUSION: Selected morbidly obese patients undergoing LT for benign conditions had 5-year survival rates clinically comparable to normal weight recipients. Impact analysis showed that exclusion of high-risk recipients(underweight and morbid obese patients) would not significantly improve the overall survival of the entire cohort of patients requiring LT.

Effects of Incretin-based Therapies on Weight-related Indicators among Patients with Type 2 Diabetes: A Network Meta-analysis

Objective To evaluate the effects of incretin-based therapies on body weight as the primary outcome,as well as on body mass index(BMI)and waist circumference(WC)as secondary outcomes.Methods Databases including Medline,Embase,the Cochrane Library,and clinicaltrials.gov(www.clinicaltrials.gov)were searched for randomized controlled trials(RCTs).Standard pairwise meta-analysis and network meta-analysis(NMA)were both carried out.The risk of bias(ROB)tool recommended by the Cochrane handbook was used to assess the quality of studies.Subgroup analysis,sensitivity analysis,meta-regression,and quality evaluation based on the Grading of Recommendations Assessment,Development,and Evaluation(GRADE)were also performed.Results A total of 292 trials were included in this study.Compared with placebo,dipeptidyl-peptidase IV inhibitors(DPP-4 Is)increased weight slightly by 0.31 kg[95%confidence interval(CI):0.05,0.58]and had negligible effects on BMI and WC.Compared with placebo,glucagon-like peptide-1 receptor agonists(GLP-1 RAs)lowered weight,BMI,and WC by-1.34 kg(95%CI:-1.60,-1.09),-1.10 kg/m2(95%CI:-1.42,-0.78),and-1.28 cm(95%CI:-1.69,-0.86),respectively.Conclusion GLP-1 RAs were more effective than DPP-4 Is in lowering the three indicators.Overall,the effects of GLP-1 RAs on weight,BMI,and WC were favorable.

Living donor liver transplantation with body-weight more or less than 10 kilograms

AIM: To compare the outcomes of pediatric patients weighing less than or more than 10 kg who underwent liver transplantation.METHODS: Data for 196 pediatric patients who underwent living donor liver transplantation between June 1994 and February 2011 were reviewed retrospectively.The information for each patient was anonymized and de-identified before analysis. The data included information regarding the pre-transplant conditions, intraoperative fluid replacement and outcomes for each patient. The 196 patients were divided into two groups: those with body weights of less than 10 kg were included in group 1(G1; n =101), while those with body weights of more than 10 kg were included in group 2(G2; n = 95). For each group, the patients' ages, body weights, heights,pediatric end stage liver disease scores, anesthesia times, and warm and cold ischemic times were analyzed. In addition, between-group comparisons were also made. Mann-Whitney U tests were used to compare all the variables except for complications and survival rates, which were analyzed using χ 2 tests and Kaplan-Meier tests, respectively.RESULTS: The general medical conditions of the G1patients were worse than those of the G2 patients, as shown by the higher pediatric end stage liver disease scores and poorer Z-scores. In addition, the preoperative Hb and serum albumin levels were all lower for the G1 patients than for the G2 patients. The G1 patients also had significantly more intraoperative blood loss than the G2 patients. In addition, the intraoperative fluid requirements for the G1 patients,including leukocyte poor red blood cell transfusions,5% albumin infusions and crystalloid infusions, were significantly higher than those for the G2 patients. The risk of intraoperative portal vein thrombosis was higher for the patients in G1 than for those in G2. However,the one-year survival rates(95.9% and 96.8% for G1 and G2, respectively) and three-year survival rates(94.9% and 94.6% for G1 and G2, respectively) for both groups were similar.CONCLUSION: Patients weighing less than 10 kg typically have poorer conditions, but their survival rates are comparable to those of children weighing more than 10 kg.

Pre-and intraoperative predictors of acute kidney injury after liver transplantation

BACKGROUND Acute kidney injury(AKI)after liver transplantation(LT)is a frequent and multifactorial event related to increased morbidity and mortality.Risk factors for AKI after LT still need to be clarified.AIM To identify the predictors of acute kidney injury after liver transplantation.METHODS The frequency and pre-and intraoperative predictors of AKI within the first 7 d after LT were evaluated in adult liver transplant candidates in a single LT center in Croatia.AKI was defined according to the Kidney Disease:Improving Global Outcomes criteria.RESULTS Out of 205 patients(mean age 57±10 years;73.7%males,52.7%with alcoholrelated liver disease)93(45.36%)developed AKI,and the majority of them(58.06%)had stage 1.Only 5.38%of patients required renal replacement therapy after LT.The majority of patients(82.8%)developed AKI within the first two days after the procedure.Multivariate logistic regression identified pre-LT body mass index(OR=1.1,95%CI:1.05-1.24)and red blood cell transfusion(OR=1.66,95%CI:1.09-2.53)as independent predictors of early post-LT AKI occurrence.30-d survival after LT was significantly better for patients without AKI(P=0.01).CONCLUSION Early AKI after LT is a frequent event that negatively impacts short-term survival.The pathogenesis of AKI is multifactorial,but pre-LT BMI and intraoperative volume shifts are major contributors.

Comparison and development of advanced machine learning tools to predict nonalcoholic fatty liver disease:An extended study

Background:Nonalcoholic fatty liver disease(NAFLD)is a public health challenge and significant cause of morbidity and mortality worldwide.Early identification is crucial for disease intervention.We recently proposed a nomogram-based NAFLD prediction model from a large population cohort.We aimed to explore machine learning tools in predicting NAFLD.Methods:A retrospective cross-sectional study was performed on 15315 Chinese subjects(10373 training and 4942 testing sets).Selected clinical and biochemical factors were evaluated by different types of machine learning algorithms to develop and validate seven predictive models.Nine evaluation indicators including area under the receiver operating characteristic curve(AUROC),area under the precision-recall curve(AUPRC),accuracy,positive predictive value,sensitivity,F1 score,Matthews correlation coefficient(MCC),specificity and negative prognostic value were applied to compare the performance among the models.The selected clinical and biochemical factors were ranked according to the importance in prediction ability.Results:Totally 4018/10373(38.74%)and 1860/4942(37.64%)subjects had ultrasound-proven NAFLD in the training and testing sets,respectively.Seven machine learning based models were developed and demonstrated good performance in predicting NAFLD.Among these models,the XGBoost model revealed the highest AUROC(0.873),AUPRC(0.810),accuracy(0.795),positive predictive value(0.806),F1 score(0.695),MCC(0.557),specificity(0.909),demonstrating the best prediction ability among the built models.Body mass index was the most valuable indicator to predict NAFLD according to the feature ranking scores.Conclusions:The XGBoost model has the best overall prediction ability for diagnosing NAFLD.The novel machine learning tools provide considerable beneficial potential in NAFLD screening.